Latest game
DefeatRanked
KI
CAKIUpdated 11 hours ago
Steam
JapanClub · NeverMindC100%
SteamJapanClub · NeverMindC100%ねがくらくん
Let's Do This
MR 1,471#403,788Last 106–4+10Last 2010–10-6
Winrate
46%
45W · 52L · 97 stored
Ranked matches
97
selected mode
Wins
45
Ranked
Losses
52
Ranked
Peak MR
1,531
Kimberly
Ranked MR · Kimberly
97 local · 79 imported · 100 on chart · 121 battles stored
Replay not requested
KICAPlaystyle reference
Habits vs top 30 Kimberly
Benchmark refreshed Sep 3, 2026, 4:17 AM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
KILargest absolute differences first23 habits
| Habit | ねがくらくん | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA3 | 67.0% | 38.5% | +28.4% | |
| SA2 | 1.9% | 19.2% | -17.4% | |
| SA1 | 20.8% | 34.0% | -13.3% | |
| Drive Arts | 10.9% | 22.3% | -11.4% | |
| Drive Rush (cancel) | 37.1% | 29.7% | +7.4% | |
| Drive Impact gauge | 8.9% | 2.2% | +6.7% | |
| Drive Guard | 9.0% | 12.9% | -3.8% | |
| Corner pressure | 12.70 | 15.07 | -2.37 | |
| CA | 10.4% | 8.2% | +2.2% | |
| Throws | 5.00 | 3.44 | +1.56 | |
| Drive Rush (parry) | 6.1% | 7.5% | -1.5% | |
| Time cornered | 7.80 | 8.89 | -1.09 | |
| Drive Parry | 0.80 | 1.54 | -0.74 | |
| Perfect Parry | 0.00 | 0.44 | -0.44 | |
| Drive Impact | 0.70 | 0.27 | +0.43 | |
| Drive Reversal | 0.00 | 0.36 | -0.36 | |
| Throw techs | 0.70 | 0.38 | +0.32 | |
| Punish Counters landed | 0.40 | 0.13 | +0.27 | |
| Got Punish Countered | 0.30 | 0.10 | +0.20 | |
| Got stunned | 0.10 | 0.03 | +0.07 | |
| Got thrown | 2.20 | 2.14 | +0.06 | |
| Throw parries | 0.30 | 0.36 | -0.06 | |
| Stuns landed | 0.10 | 0.14 | -0.04 |
FROM STATS TO PRACTICE
Latest 100Match plan
Turn this profile’s habits and results into ideas to test. Habits cover all characters; the selected character sets the comparison group.
Checking for a saved match plan…
Uses public profile stats with OpenRouter’s free AI models. Plans are shared and saved for reuse. Suggestions are hypotheses, not replay analysis.Saved match plans
Previously generated AI plans, with their original supporting stats and data dates. Expand a plan to read both perspectives.
Kimberly · Latest 100
What to improve
Find the cause of punish events
Punish Counters landed: profile 0.4 · reference 0.13
Review five Punish Counters received and five landed. Separate whiffed attacks from unsafe actions on block before choosing what to practice.
Try thisRecreate one repeated situation in training. Check the spacing and frame meter, then practice a safer choice or a punish that actually connects.
Supporting stats
- Punish Counters landed: profile 0.4 · reference 0.13
- Got Punish Countered: profile 0.3 · reference 0.1
Review close-range choices
Throws: profile 5 · reference 3.44
Look at five close-range exchanges. Separate throw opportunities, throw attempts and defensive choices; the aggregate counts cannot show which option was correct.
Try thisReplay one recurring situation in training with both a strike and a throw recorded. Practice your chosen responses, then check how often you make that choice deliberately in matches.
Supporting stats
- Throws: profile 5 · reference 3.44
- Throw techs: profile 0.7 · reference 0.38
- Got thrown: profile 2.2 · reference 2.14
AI selects and prioritizes reviewed practice plans from the cited stats. Habits cover the whole profile; character records and recent samples have separate scopes. These are ideas to test, not confirmed weaknesses or video analysis. Latest reported trends across the last 100 matches, not lifetime habit averages.
Data saved Sep 13, 2026 · AI: nex-agi/nex-n2.5-mini:free
How to beat this player
Use matchup records as scouting leads
vs Luke: 23 wins in 41 games
A lower win rate suggests footage to examine, not a guaranteed counterpick. Check whether the same difficult situation appears in multiple matches.
Try thisIf you play the cited character, test one familiar situation from that footage. If the player handles it well, abandon the assumption and adapt to what they show.
Supporting stats
- vs Luke: 23 wins in 41 games
- vs Ken: 23 wins in 33 games
- vs A.K.I.: 11 wins in 13 games
AI selects and prioritizes reviewed practice plans from the cited stats. Habits cover the whole profile; character records and recent samples have separate scopes. These are ideas to test, not confirmed weaknesses or video analysis. Latest reported trends across the last 100 matches, not lifetime habit averages.
Data saved Sep 13, 2026 · AI: nex-agi/nex-n2.5-mini:free